Integrated conditioning and machine-learning model for natural language processing

Abstract

The system includes a memory to store an electronic compilation document with multiple pages and operational instructions, as well as a processor to execute these instructions. It uses a first machine-learning classifier, trained on labeled pages, to identify document types within the electronic compilation document. After identifying document types, the system performs a preprocessing action on each page of the electronic compilation document, creating a preprocessed document. Additionally, the system uses a second machine-learning classifier, trained with labeled data specifying both document type and page position (first or last page), to classify each page according to its type and position, indicating whether it is the first or last page within that document type. Further, the system organizes pages by document type, grouping them sequentially from the first to the last page of each type.